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[mrd] plot_scales and plot_latent added

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Max Zwiessele 2016-03-01 10:02:02 +00:00
parent c4020cd2eb
commit 885d3722cc
8 changed files with 112 additions and 148 deletions
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12
GPy/plotting/gpy_plot/kernel_plots.py
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@ -33,7 +33,7 @@ from .. import Tango
from .plot_util import update_not_existing_kwargs, helper_for_plot_data
from ...kern.src.kern import Kern, CombinationKernel
def plot_ARD(kernel, filtering=None, legend=False, **kwargs):
def plot_ARD(kernel, filtering=None, legend=False, canvas=None, **kwargs):
"""
If an ARD kernel is present, plot a bar representation using matplotlib
@ -62,7 +62,11 @@ def plot_ARD(kernel, filtering=None, legend=False, **kwargs):
bars = []
kwargs = update_not_existing_kwargs(kwargs, pl().defaults.ard)
canvas, kwargs = pl().new_canvas(xlim=(-.5, kernel._effective_input_dim-.5), xlabel='input dimension', ylabel='sensitivity', **kwargs)
if canvas is None:
canvas, kwargs = pl().new_canvas(xlim=(-.5, kernel._effective_input_dim-.5), xlabel='input dimension', ylabel='sensitivity', **kwargs)
for i in range(ard_params.shape[0]):
if parts[i].name in filtering:
c = Tango.nextMedium()
@ -96,7 +100,7 @@ def plot_covariance(kernel, x=None, label=None,
"""
X = np.ones((2, kernel._effective_input_dim)) * [[-3], [3]]
_, free_dims, Xgrid, xx, yy, _, _, resolution = helper_for_plot_data(kernel, X, plot_limits, visible_dims, None, resolution)
from numbers import Number
if x is None:
from ...kern.src.stationary import Stationary
@ -104,7 +108,7 @@ def plot_covariance(kernel, x=None, label=None,
elif isinstance(x, Number):
x = np.ones((1, kernel._effective_input_dim))*x
K = kernel.K(Xgrid, x)
if projection == '3d':
xlabel = 'X[:,0]'
ylabel = 'X[:,1]'